To assess each model result we perform two evaluations. First, we run a number of objective distortion metrics, often applied in speech synthesis problems: Mel cepstral distortion (MCD; in dB) [1]}, F0 root mean squared error (RMSE; in Hz), and the voiced/unvoiced frame prediction error (UV) [2]}. These errors give us a first clue on how close is each system to the clean original signal in terms of content, identity, and intonation.
